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Open AccessArticle

Genome-Wide Association Studies for Methane Production in Dairy Cattle

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Instituto Nacional de Investigaciones Forestales, Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, Agrícolas y Pecuaria, SADER, Querétaro 76230, Mexico
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Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Av. Universidad 300, Ciudad de México 04510, Mexico
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School of Biosciences, The University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK
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Campo Experimental La Posta, Centro de Investigación Regional Golfo-Centro, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, SADER, Veracruz 94277, Mexico
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Campo Experimental Santiago-Ixcuintla, Centro de Investigación Regional Pacifico-Centro, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, SADER, Nayarit 63300, Mexico
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Red de Investigación e Innovación Tecnológica para la Ganadería Bovina Tropical (REDGATRO), National Autonomous University of Mexico, Ciudad de México 04510, Mexico
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Author to whom correspondence should be addressed.
Genes 2019, 10(12), 995; https://doi.org/10.3390/genes10120995
Received: 28 August 2019 / Revised: 19 November 2019 / Accepted: 22 November 2019 / Published: 2 December 2019
(This article belongs to the Section Animal Genetics and Genomics)
Genomic selection has been proposed for the mitigation of methane (CH4) emissions by cattle because there is considerable variability in CH4 emissions between individuals fed on the same diet. The genome-wide association study (GWAS) represents an important tool for the detection of candidate genes, haplotypes or single nucleotide polymorphisms (SNP) markers related to characteristics of economic interest. The present study included information for 280 cows in three dairy production systems in Mexico: 1) Dual Purpose (n = 100), 2) Specialized Tropical Dairy (n = 76), 3) Familiar Production System (n = 104). Concentrations of CH4 in a breath of individual cows at the time of milking (MEIm) were estimated through a system of infrared sensors. After quality control analyses, 21,958 SNPs were included. Associations of markers were made using a linear regression model, corrected with principal component analyses. In total, 46 SNPs were identified as significant for CH4 production. Several SNPs associated with CH4 production were found at regions previously described for quantitative trait loci of composition characteristics of meat, milk fatty acids and characteristics related to feed intake. It was concluded that the SNPs identified could be used in genomic selection programs in developing countries and combined with other datasets for global selection. View Full-Text
Keywords: methane production; dairy cattle; GWAS; SNP; milk yield methane production; dairy cattle; GWAS; SNP; milk yield
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Calderón-Chagoya, R.; Hernandez-Medrano, J.H.; Ruiz-López, F.J.; Garcia-Ruiz, A.; Vega-Murillo, V.E.; Montano-Bermudez, M.; Arechavaleta-Velasco, M.E.; Gonzalez-Padilla, E.; Mejia-Melchor, E.I.; Saunders, N.; Bonilla-Cardenas, J.A.; Garnsworthy, P.C.; Román-Ponce, S.I. Genome-Wide Association Studies for Methane Production in Dairy Cattle. Genes 2019, 10, 995.

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